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{{Mitarbeiter
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{{Mitarbeiter/en}}
|Vorname=Konstantin
 
|Nachname=Pandl
 
|Akademischer Titel=M.Sc.
 
|Forschungsgruppe=Critical Information Infrastructures
 
|Stellung=Doktorand
 
|Ehemaliger=Nein
 
|Telefon=+49 (721) 608 46036
 
|Email=konstantin.pandl@kit.edu
 
|Raum=2C-11
 
|Hinweis DE=Sprechstunde nach Vereinbarung
 
|Hinweis EN=Office hours by appointment
 
|Bild=pandl.jpg
 
|Info=<h1>Curriculum Vit&aelig;</h1>
 
Work Experience:
 
<ul>
 
<li>Since 07/2019: Research associate in the Critical Information Infrastructures research group at the Karlsruhe Institute of Technology, Germany.</li>
 
<li>11/2018 – 05/2019: Consultant at A.T. Kearney GmbH, Munich, Germany.</li>
 
<li>05/2016 – 10/2016: Venture Analyst Intern at Siemens Technology-To-Business / next47, Berkeley, CA, USA.</li>
 
<li>06/2012: Software Engineering Intern at Physik Instrumente, Karlsruhe, Germany.</li>
 
</ul>
 
<br/>
 
Education:
 
<ul>
 
<li>Since 07/2019: Ph.D. student in the Critical Information Infrastructures research group at Karlsruhe Institute of Technology, Germany.</li>
 
<li>09/2017 – 03/2018: Master thesis exchange student in Intelligent Manufacturing at Tongji University, China.</li>
 
<li>10/2015 – 04/2018: M.Sc. in Electrical Engineering and Information Technology (with distinction) at Karlsruhe Institute of Technology, Germany.</li>
 
<li>08/2015 – 05/2016: Graduate exchange student in Electrical and Computer Engineering at Purdue University, USA.</li>
 
<li>10/2012 – 08/2015: Bachelor of Science in Electrical Engineering and Information Technology (with distinction) at Karlsruhe Institute of Technology, Germany.</li>
 
</ul>
 
<br>
 
<h1>Research Interests</h1>
 
<ul>
 
<li>Machine Learning</li>
 
<li>System Security</li>
 
<li>Distributed Systems</li>
 
</ul>
 
<br>
 
<h1>Publications</h1>
 
<h3>2020</h3>
 
<ul>
 
<li>Pandl, K., Thiebes, S., Schmidt-Kraepelin, M. & Syunaev, A. (2019). On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda (Working Paper) In: arXiv, February 2020
 
</li>
 
</ul>
 
<h3>2019</h3>
 
<ul>
 
<li>Beyene, M., Kannengießer, N., Pandl, K., Thiebes, S. & Syunaev, A. (2019). A Cost and Time Efficient Approach for Storing and Querying Genomic Data in Ethereum Smart Contracts In: iDash Privacy & Security Workshop, October 2019, Bloomington, IN, USA</li>
 
</ul>
 
<h3>2016</h3>
 
<ul>
 
<li>Doerr, D., Pandl, K. & Gauterin, F. (2016). Optimization of system parameters for an online driving style recognition In: 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC). Rio de Janeiro, Brazil.</li>
 
</ul>
 
<br>
 
<h1>Talks</h1>
 
<ul>
 
<li>How the Convergence of Blockchain and Artificial Intelligence will Benefit Healthcare Researchers, Blockchain for Science Conference, Berlin, November 2019</li>
 
</ul>
 
|Info EN=<h1>Curriculum Vit&aelig;</h1>
 
Work Experience:
 
<ul>
 
<li>Since 07/2019: Research associate in the Critical Information Infrastructures research group at the Karlsruhe Institute of Technology, Germany.</li>
 
<li>11/2018 – 05/2019: Consultant at A.T. Kearney GmbH, Munich, Germany.</li>
 
<li>05/2016 – 10/2016: Venture Analyst Intern at Siemens Technology-To-Business / next47, Berkeley, CA, USA.</li>
 
<li>06/2012: Software Engineering Intern at Physik Instrumente, Karlsruhe, Germany.</li>
 
</ul>
 
<br/>
 
Education:
 
<ul>
 
<li>Since 07/2019: Ph.D. student in the Critical Information Infrastructures research group at Karlsruhe Institute of Technology, Germany.</li>
 
<li>09/2017 – 03/2018: Master thesis exchange student in Intelligent Manufacturing at Tongji University, China.</li>
 
<li>10/2015 – 04/2018: M.Sc. in Electrical Engineering and Information Technology (with distinction) at Karlsruhe Institute of Technology, Germany.</li>
 
<li>08/2015 – 05/2016: Graduate exchange student in Electrical and Computer Engineering at Purdue University, USA.</li>
 
<li>10/2012 – 08/2015: Bachelor of Science in Electrical Engineering and Information Technology (with distinction) at Karlsruhe Institute of Technology, Germany.</li>
 
</ul>
 
<br>
 
<h1>Research Interests</h1>
 
<ul>
 
<li>Machine Learning</li>
 
<li>Blockchain / Distributed Ledger Technology</li>
 
</ul>
 
<br>
 
<h1>Publications</h1>
 
<h3>2019</h3>
 
<ul>
 
<li>Beyene, M., Kannengießer, N., Pandl, K., Thiebes, S., Sunyaev, A. (2019). A Cost and Time Efficient Approach for Storing and Querying Genomic Data in Ethereum Smart Contracts In: iDash Privacy & Security Workshop, Bloomington, IN, USA</li>
 
</ul>
 
<h3>2016</h3>
 
<ul>
 
<li>Doerr, D., Pandl, K. & Gauterin, F. (2016). Optimization of system parameters for an online driving style recognition In: 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC). Rio de Janeiro, Brazil.</li>
 
</ul>
 
<br/>
 
|Publikationen anzeigen=Nein
 
|Vorträge anzeigen=Nein
 
|Organisation=AIFB, KIT
 
|Abschlussarbeiten anzeigen=Nein
 
}}
 

Aktuelle Version vom 2. März 2020, 12:44 Uhr

Pandl.jpg


Curriculum Vitæ

Work Experience:

  • Since 07/2019: Research associate in the Critical Information Infrastructures research group at the Karlsruhe Institute of Technology, Germany.
  • 11/2018 – 05/2019: Consultant at A.T. Kearney GmbH, Munich, Germany.
  • 05/2016 – 10/2016: Venture Analyst Intern at Siemens Technology-To-Business / next47, Berkeley, CA, USA.
  • 06/2012: Software Engineering Intern at Physik Instrumente, Karlsruhe, Germany.


Education:

  • Since 07/2019: Ph.D. student in the Critical Information Infrastructures research group at Karlsruhe Institute of Technology, Germany.
  • 09/2017 – 03/2018: Master thesis exchange student in Intelligent Manufacturing at Tongji University, China.
  • 2015 – 2018: M.Sc. in Electrical Engineering and Information Technology (with distinction) at Karlsruhe Institute of Technology, Germany.
  • 08/2015 – 05/2016: Graduate exchange student in Electrical and Computer Engineering at Purdue University, USA.
  • 2012 – 2015: Bachelor of Science in Electrical Engineering and Information Technology (with distinction) at Karlsruhe Institute of Technology, Germany.


Research Interests

  • Privacy-preserving machine learning
  • Blockchain-based data marketplaces


Publications

2020

  • Pandl, K., Thiebes, S., Schmidt-Kraepelin, M. & Syunaev, A. (2019). On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda In: IEEE Access 8, 57075-57095, March 2020

2019

  • Beyene, M., Kannengießer, N., Pandl, K., Thiebes, S. & Syunaev, A. (2019). A Cost and Time Efficient Approach for Storing and Querying Genomic Data in Ethereum Smart Contracts In: iDash Privacy & Security Workshop, October 2019, Bloomington, IN, USA

2016

  • Doerr, D., Pandl, K. & Gauterin, F. (2016). Optimization of system parameters for an online driving style recognition In: 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC). Rio de Janeiro, Brazil.


Talks

  • Convergence of AI and DLT – review and future research agenda / BloG3 research project - blockchain-based health data management, Oasis Labs, San Francisco, CA, USA, April 2020
  • How the Convergence of Blockchain and Artificial Intelligence will Benefit Healthcare Researchers, Blockchain for Science Conference, Berlin, November 2019


Reviewer for

  • JMIR Public Health and Surveillance





Active Projects
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